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Gesamtkatalog

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Professional and Applied Computing (R0)

Deepali Mayekar

Decoupling Drupal

A Decoupled Design Approach for Web Applications

Chapter 1:  Drupal Use so far.- Chapter 2:  What is headless/decoupled design and Advantages of using decoupled design.- Chapter 3: Examples and more assertive on decoupled design.- Chapter 4: Conclusive and helpful hints/tips…sample code.

The Innovators and Mathematical Insights Shaping the Future of AI

Agentic Finance

Long established as the go-to book for internal communication practitioners, this fifth edition has been completely updated to reflect changes in the field, including developments in the expanding use of technology in internal communication practice, hybrid working, and the greater emphasis on inclusive workplaces.

Towards Dialogue in the Workplace

Exploring Internal Communication

Human-Centered Automation (HCA) is becoming indispensable for organizations seeking to implement AI-driven systems, robotic process automation, and other advanced tools while keeping human needs at the core. Despite the widespread adoption of automation, many initiatives fall short due to a lack of alignment between technical capabilities and real-world user and organizational needs.This book unites insights from cognitive science, software engineering, business strategy, and human factors that view automation as something that works for people and not just systems. This book provides the tools and strategies to ensure efforts with automation succeed with people at the center. It takes readers through the entire HCA lifecycle; from process discovery and planning to system design, testing, and long-term oversight. With easy-to-understand frameworks and real-world examples across sectors, including healthcare, finance, and manufacturing, readers will gain tools to assess risk, define measurable outcomes, involve stakeholders, and build automation that is trustworthy, explainable, and effective. It offers the methodologies needed to drive meaningful, lasting impact through automation.Human-Centered Automation is essential for ergonomics and human factors professionals, researchers, and organizational leaders involved in designing or managing automation initiatives. Its appeal extends to professionals in AI and machine learning, UX design, process engineering, business operations, and policy development.

Human-Centered Automation

The Key Driver of the Innovation Engine

Understanding the AI Economy

Im Zeitalter der Künstlichen Intelligenz wird eine zentrale Frage immer dringlicher:Wie bleibt man relevant?
 Dieses Buch ist kein Technikratgeber und kein Zukunftsorakel.Es ist ein Kompass für Orientierung in einer Zeit tiefgreifender technologischer Transformation. Basierend auf langjähriger Erfahrung in Strategie-, Personal- und Organisationsfragen entwickelt der Autor einen Bezugsrahmen: den Zukunftskompass.Er zeigt, woraus Relevanz im KI-Zeitalter entsteht und warum sie weit mehr umfasst als technologische Kompetenz allein. Entscheidend ist das Zusammenspiel von fachlicher Substanz, strategischer Orientierung, technologischer Einordnung, wirtschaftlicher Tragfähigkeit und verantwortungsvollem Handeln.Der Zukunftskompass macht diese Zusammenhänge greifbar und bietet Orientierung für Entscheidungen in einer Welt, in der Unsicherheit, Komplexität und Ambiguität zur Normalität geworden sind.

Der Zukunftskompass für Menschen, Organisationen und Gesellschaft

Relevanz im KI-Zeitalter

Relational Economics and Organization Governance

An Investigation into Contemporary Scientific Practice

University Knowledge Production

This book addresses perhaps the most pervasive, topical and unsettled collection of themes and questions in the contemporary legal world, subsisting in private law and emergent technologies such as digital assets,&nbsp;blockchain and cryptocurrency. Private law frameworks across the globe are struggling to keep pace with rapid technological developments that typify the Fourth Industrial Revolution. This sluggishness is triggering a swathe of important but unanswered practical and theoretical legal questions. These questions concern critical matters of legality, practicality, utility, appropriate regulation, and the underlying theoretical basis for state intervention.This book uniquely combines a variety of themes which have not been the subject of significant writing and which are sure to inform live discourse and regulatory efforts in the space of digital assets and infrastructure,&nbsp;blockchain, cryptocurrency and related emerging technologies. Private law currently finds itself at a crossroads, and governments and courts are frantically searching for guidance as to how to approach the themes and questions addressed in this book. Legal practitioners, scholars and students of the law are equally perplexed as to private law's current and future directions in this space. The book therefore offers essential perspectives that will appeal to legislators, regulators, judges, lawyers, scholars, and students alike.

Private Law, Digital Assets, and Infrastructure

This book is a comprehensive guide designed to equip you with the practical skills and knowledge necessary to tackle real-world data challenges using Open Source solutions. Focusing on 10 real-world data engineering projects, it caters specifically to data engineers at the early stages of their careers, providing a strong foundation in essential open source tools and techniques such as Apache Spark, Flink, Airflow, Kafka, and many more.
Each chapter is dedicated to a single project, starting with a clear presentation of the problem it addresses. You will then be guided through a step-by-step process to solve the problem, leveraging widely-used open-source data tools. This hands-on approach ensures that you not only understand the theoretical aspects of data engineering but also gain valuable experience in applying these concepts to real-world scenarios.
At the end of each chapter, the book delves into common challenges that may arise during the implementation of the solution, offering practical advice on troubleshooting these issues effectively. Additionally, the book highlights best practices that data engineers should follow to ensure the robustness and efficiency of their solutions. A major focus of the book is using open-source projects and tools to solve problems encountered in data engineering. 
In summary, this book is an indispensable resource for data engineers looking to build a strong foundation in the field. By offering practical, real-world projects and emphasizing problem-solving and best practices, it will prepare you to tackle the complex data challenges encountered throughout your career. Whether you are an aspiring data engineer or looking to enhance your existing skills, this book provides the knowledge and tools you need to succeed in the ever-evolving world of data engineering.


You Will Learn:

The foundational concepts of data engineering and practical experience in solving real-world data engineering problems

How to proficiently use open-source data tools like Apache Kafka, Flink, Spark, Airflow, and Trino

10 hands-on data engineering projects

Troubleshoot common challenges in data engineering projects





Who is this book for: Early-career data engineers and aspiring data engineers who are looking to build a strong foundation in the field; mid-career professionals looking to transition into data engineering roles; and technology enthusiasts interested in gaining insights into data engineering practices and tools.

This book is a comprehensive guide designed to equip you with the practical skills and knowledge necessary to tackle real-world data challenges using Open Source solutions. Focusing on 10 real-world data engineering projects, it caters specifically to data engineers at the early stages of their careers, providing a strong foundation in essential open source tools and techniques such as Apache Spark, Flink, Airflow, Kafka, and many more.
 
 Each chapter is dedicated to a single project, starting with a clear presentation of the problem it addresses. You will then be guided through a step-by-step process to solve the problem, leveraging widely-used open-source data tools. This hands-on approach ensures that you not only understand the theoretical aspects of data engineering but also gain valuable experience in applying these concepts to real-world scenarios.
 
 At the end of each chapter, the book delves into common challenges that may arise during the implementation of the solution, offering practical advice on troubleshooting these issues effectively. Additionally, the book highlights best practices that data engineers should follow to ensure the robustness and efficiency of their solutions.&nbsp;A major focus of the book is using open-source projects and tools to solve problems encountered in data engineering.&nbsp;
 
 In summary, this book is an indispensable resource for data engineers looking to build a strong foundation in the field. By offering practical, real-world projects and emphasizing problem-solving and best practices, it will prepare you to tackle the complex data challenges encountered throughout your career. Whether you are an aspiring data engineer or looking to enhance your existing skills, this book provides the knowledge and tools you need to succeed in the ever-evolving world of data engineering.
 You Will Learn:<ul><li>The foundational concepts of data engineering and practical experience in solving real-world data engineering problems</li><li>How to proficiently use open-source data tools like Apache Kafka, Flink, Spark, Airflow, and Trino</li><li>10 hands-on data engineering projects</li><li>Troubleshoot common challenges in data engineering projects</li></ul> Who is this book for
 : Early-career data engineers and aspiring data engineers who are looking to build a strong foundation in the field; mid-career professionals looking to transition into data engineering roles; and technology enthusiasts interested in gaining insights into data engineering practices and tools.

Solving Everyday Data Challenges with Spark, Iceberg, Kafka, Flink, and More

Practical Data Engineering with Apache Projects

Apress Pocket Guides

With dev teams evolving, developers and coders are increasingly tasked with not just the technical elements of their product or project, but also writing about it. Technical Writing for Developers aims to be a swift 'how to' guide on utilising HTML, Markdown and other key technologies like JavaScript and GitHub for document markup and writing, giving quick overviews on key topics and their practical applications for both developers and technical writers, especially those who are involved in a 'Docs as Code' environment. 

We start with a brief overview of technical writing for developers before jumping straight into core technologies, what they are and where it could be used, providing several "hands-on" examples to get you started. These are meant to be concise to give you a taste of each, to give you an idea of where to get started and how each technology can be applied and utilized in your product. 

You Will: 

Utilize key web technologies for technical writing

Apply the basic skills required with real-world code examples with sample documents

Apply these skills into your daily projects and routines 




This Is For:

Developers who already know how to use HTML, JavaScript and Markdown but want to know how to utilize it for writing documentation , as well as Technical Writers, Content Strategists, Product Managers and Marketers looking for a quick entry point to key technologies when it comes to the 'Docs as Code' ecosystem.

With dev teams evolving, developers and coders are increasingly tasked with not just the technical elements of their product or project, but also writing about it. 
 Technical Writing for Developers
 aims to be a swift 'how to' guide on utilising HTML, Markdown and other key technologies like JavaScript and GitHub for document markup and writing, giving quick overviews on key topics and their practical applications for both developers and technical writers, especially those who are involved in a 'Docs as Code' environment.&nbsp;
 We start with a brief overview of technical writing for developers before jumping straight into core technologies, what they are and where it could be used,&nbsp; providing several "hands-on" examples to get you started. These are meant to be concise to give you a taste of each, to give&nbsp; you an idea of where to get started and how each technology can be applied and utilized in your product.&nbsp;You Will:&nbsp;<ul><li>Utilize key web technologies for technical writing</li><li>Apply the basic skills required with real-world code examples&nbsp;with sample documents</li><li>Apply these skills into your daily projects and routines&nbsp;</li></ul>This Is For:Developers who already know how to use HTML, JavaScript and Markdown but want to know how to utilize it for writing documentation , as well as Technical Writers, Content Strategists, Product Managers and Marketers looking for a quick entry point to key technologies when it comes to the 'Docs as Code' ecosystem.&nbsp;

Utilizing HTML, JavaScript, Markdown, and GitHub for Writing

Technical Writing for Developers

Digital Transformation and Innovation

This book examines the evolving role of digitalization in knowledge transfer within businesses and education, offering a thoughtful exploration of innovative frameworks, case studies, and practical strategies to address the challenges of a rapidly changing landscape. Integrating perspectives from very diverse fields highlights how AI, immersive technologies, and an attitude of co-creation can enhance knowledge retention, ecosystem thinking, and learner engagement.&nbsp;Bringing together contributions from experts across industries and academia, the book combines theoretical insights with truly practical applications. Topics include AI-enhanced HR processes, digital ecosystems for small and medium-sized enterprises, and methods to improve learner motivation through tools like chatbots and immersive worlds. Through case studies, such as the use of an Extended Reality demonstrator in collaborative workspaces and systematic approaches to AI adoption, the book provides readers with a deeper understanding of how knowledge transfer can be reimagined in digital environments. It also raises critical questions about the integration of AI, the ethical implications of automation in knowledge management, and the future of workplace learning. It further explores practical solutions, including frameworks for collaborative business-education partnerships and strategies to support upskilling and innovation in digital ecosystems. Its focus on fostering resilient, adaptive systems and addressing pressing challenges in knowledge transfer makes it a practical guide for creating sustainable and forward-thinking solutions.As such, the book provides business leaders, educators, and policymakers with actionable insights to support innovation, sustainability, and collaboration. Professionals navigating the complexities of digital transformation will also find it a valuable resource.

Shaping the Future

Digital Transformation in Knowledge Transfer

Digital transformation, anchored in data and powered by frontier technologies such as artificial intelligence (AI), Generative AI (GenAI), and emerging agentic systems, is arguably the most widely pursued initiative among companies of all sizes worldwide. Digital natives and traditional incumbents alike are struggling to cope with the relentless pace of technological change. While successful incumbents may have mastered value creation and extraction within their established core businesses, they often continue to treat digital as peripheral to their core strategy. Yet recurring flashes of potential reveal digital as a credible source of sustainable advantage, creating ambiguity about its true scope and impact. Many organisations struggle to find a clear starting point or design a roadmap, and even when initiatives begin, return on investment (ROI) and change management remain major barriers. The second edition of this book offers theories and frameworks to understand and develop these elements, while updating and refining practical models for technology taxonomy, digital literacy, digital transformation, and paths to value. Incorporating lessons on competing in the digital era, it features real-world cases in consulting and strategy, accessible to students, instructors, and professionals without prior expertise. Designed to support teaching and learning, it remains a valuable resource for students of Business, Management and Marketing; Organisational Change; Production, Operations and Information; Management e-Business; Information / Knowledge Management; Innovation Management; Organisational Studies; and Management of Technology and Innovation.

Theory and Practice

Digital Transformation Strategies

Developer relations (DevRel) go beyond just blog posts, conference talks, and clever tweets. It is a discipline grounded in intention, empathy, and consistent actions. This book outlines foundational strategies employed by successful DevRel teams in just 39 focused patterns.
Using a tactical approach to effectively engage in developer relations, each pattern is based on real-world experience and designed for scalability. By using a pattern form to describe the various activities&nbsp;of developer relations in detail, the book clearly lays out the intention, shows how to create empathy with your audience, and provides a clear guide on how to execute it. Within this book, you'll discover how to extend your reach, enhance meaningful interactions, and align your initiatives with both developer communities and company strategy without compromising your values or experiencing burnout.
Whether you're a solo advocate, managing a small startup team, or leading DevRel on a larger scale, Developer Relations Activity Patterns is your practical playbook for refining strategy and amplifying your impact.&nbsp;&nbsp;&nbsp;
You will:
<ul>
<li>Gain a greater understanding of what developer relations means and the range of activities under its remit</li>
<li>Learn the tools, approaches, and new tactics for developer community engagement</li>
<li>Understand how and when to apply each tactic, based on your aims and objectives</li>
</ul>

Developer relations (DevRel) go beyond just blog posts, conference talks, and clever tweets. It is a discipline grounded in intention, empathy, and consistent actions. This book outlines foundational strategies employed by successful DevRel teams in just 39 focused patterns.Using a tactical approach to effectively engage in developer relations, eachpattern is based on real-world experience and designed for scalability. By using a pattern form to describe the various activities of developer relations in detail, the book clearly lays out the intention, shows how to create empathy with your audience, and provides a clear guide on how to execute it. Within this book, you'll discover how to extend your reach, enhance meaningful interactions, and align your initiatives with both developer communities and company strategy without compromising your values or experiencing burnout.
 Whether you're a solo advocate, managing a small startup team, or leading DevRel on a larger scale, 
 Developer Relations Activity Patterns
 is your practical playbook for refining strategy and amplifying your impact.&nbsp;&nbsp;&nbsp;
 You will:<ul><li>Gain a greater understanding of what developer relations means and the range of activities under its remit</li><li>Learn the tools, approaches, and new tactics for developer community engagement</li><li>Understand how and when to apply each tactic, based on your aims and objectives</li></ul>This Book Is For:&nbsp;
 &nbsp;
 Developer Relations teams, including group leaders, direct reports, senior executives in the developer community, and company product managers looking to understand and establish a DevRel function in their organization.

A Unified Approach to DevRel, DX, and Community Management

Developer Relations Activity Patterns

Decoupling Drupal

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